Principles of Artificial IntelligenceA classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used. Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study. |
From inside the book
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... search tree that might be generated by a graph-search control strategy in solving this problem. The numbers next to the edges of the tree are the increments of distance added to the trip by applying the corresponding rule. 1.1.6.2. A ...
... graph-search control strategy that generates a search tree of global databases. Now consider another production system whose global database is the entire search tree of the first. The rules of the new production system represent the ...
... search strategy [Bobrow and Raphael (1974)]. The literature on heuristic graph searching is extensive; several references are cited in the next two chapters. 1.4.3, EXAMPLE PROBLEMS Problem-solving programs have sharpened their ...
... graph-search) control strategies should be used when there are multiple paths between problem states because these strategies tend to avoid exploring all of the paths. 1.9 In using a backtracking strategy with procedure SPLIT, should ...
... graphsearch regimes, search processes that permitted tentative rule selection. Our main concern in the present chapter is tentative control. Fig. 2. 1 Computational costs of AI production systems. Fig. 2.2 Queen positions during a stage ...
Contents
1 | |
17 | |
53 | |
CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS | 99 |
CHAPTER 4 THE PREDICATE CALCULUS IN AI | 131 |
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS | 161 |
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS | 193 |
CHAPTER 7 BASIC PLANGENERATING SYSTEMS | 275 |
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS | 321 |
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS | 361 |
PROSPECTUS | 417 |
BIBLIOGRAPHY | 429 |
AUTHOR INDEX | 467 |
SUBJECT INDEX | 471 |